# The question-answering example in the doc throws an AttributeError exception. Please help **URL:** \ **Category:** Beginners\ **Created:** [December 5, 2020, 5:40pm UTC](https://discuss.huggingface.co/t/the-question-answering-example-in-the-doc-throws-an-attributeerror-exception-please-help/2611 "2020-12-05T17:40:39Z")\ **Posts on this page:** 7\ **Page:** 1
**Author:** ![GPN](https://avatars.discourse-cdn.com/v4/letter/g/a8b319/32.png) [@GPN](https://discuss.huggingface.co/u/GPN)\ **Post date:** [December 5, 2020, 5:40pm UTC](https://discuss.huggingface.co/t/the-question-answering-example-in-the-doc-throws-an-attributeerror-exception-please-help/2611/1 "2020-12-05T17:40:40Z")
Hi. Admittedly I am a beginner to HuggingFace, though I do have some Python experience and general programming experience. I am using - `transformers` version: 3.5.1 - Platform: Windows-10-10.0.18362-SP0 - Python version: 3.6.12 - PyTorch version (GPU?): 1.7.0 (False) - Tensorflow version (GPU?): not installed (NA) - Using GPU in script?: No - Using distributed or parallel set-up in script?: No I copy-pasted the following code (see at the bottom of the post) from the Transformers doc on [Summary of the tasks — transformers 4.0.0 documentation (huggingface.co)](https://huggingface.co/transformers/task_summary.html#extractive-question-answering) However this code (I made no changes) returns with the following error: ````auto Traceback (most recent call last): File "c:/Workspace/py-conda-workspaces/py36-conda-speechDemo/text-question-answering.py", line 21, in answer_start_scores = outputs.start_logits AttributeError: 'tuple' object has no attribute 'start_logits'``` ```` Here is the code: ```auto from transformers import AutoTokenizer, AutoModelForQuestionAnswering import torch tokenizer = AutoTokenizer.from_pretrained("bert-large-uncased-whole-word-masking-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("bert-large-uncased-whole-word-masking-finetuned-squad") text = r""" 🤗 Transformers (formerly known as pytorch-transformers and pytorch-pretrained-bert) provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch. """ questions = [ "How many pretrained models are available in 🤗 Transformers?", "What does 🤗 Transformers provide?", "🤗 Transformers provides interoperability between which frameworks?", ] for question in questions: inputs = tokenizer(question, text, add_special_tokens=True, return_tensors="pt") input_ids = inputs["input_ids"].tolist()[0] text_tokens = tokenizer.convert_ids_to_tokens(input_ids) outputs = model(**inputs) answer_start_scores = outputs.start_logits answer_end_scores = outputs.end_logits answer_start = torch.argmax( answer_start_scores ) # Get the most likely beginning of answer with the argmax of the score answer_end = torch.argmax(answer_end_scores) + 1 # Get the most likely end of answer with the argmax of the score answer = tokenizer.convert_tokens_to_string(tokenizer.convert_ids_to_tokens(input_ids[answer_start:answer_end])) print(f"Question: {question}") print(f"Answer: {answer}") ``` Please help. What did I do wrong? ---
**Author:** ![sgugger](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/sgugger/32/2291_2.png) [@sgugger](https://discuss.huggingface.co/u/sgugger)\ **Post date:** [December 5, 2020, 6:55pm UTC](https://discuss.huggingface.co/t/the-question-answering-example-in-the-doc-throws-an-attributeerror-exception-please-help/2611/2 "2020-12-05T18:55:11Z")
You’re using code aimed at transformers v4 with a previous version so it doesn’t work 🙂 You can either: - upgrade your installation - replace the line defining your model by this: ```auto model = AutoModelForQuestionAnswering.from_pretrained("bert-large-uncased-whole-word-masking-finetuned-squad", return_dict=True) ``` ---
**Author:** ![GPN](https://avatars.discourse-cdn.com/v4/letter/g/a8b319/32.png) [@GPN](https://discuss.huggingface.co/u/GPN)\ **Post date:** [December 5, 2020, 7:46pm UTC](https://discuss.huggingface.co/t/the-question-answering-example-in-the-doc-throws-an-attributeerror-exception-please-help/2611/3 "2020-12-05T19:46:06Z")
Thank you. I upgraded using `pip install --upgrade transformers` and it all worked 😃 ---
**Author:** ![GPN](https://avatars.discourse-cdn.com/v4/letter/g/a8b319/32.png) [@GPN](https://discuss.huggingface.co/u/GPN)\ **Post date:** [December 5, 2020, 8:10pm UTC](https://discuss.huggingface.co/t/the-question-answering-example-in-the-doc-throws-an-attributeerror-exception-please-help/2611/4 "2020-12-05T20:10:57Z")
> [@GPN](#): > > My environment now (after having upgraded transformers as per instructions) is > > - `transformers` version: 4 > - Platform: Windows-10-10.0.18362-SP0 > - Python version: 3.6.12 > - PyTorch version (GPU?): 1.7.0 (False) > - Tensorflow version (GPU?): not installed (NA) > - Using GPU in script?: No > - Using distributed or parallel set-up in script?: No Hi Though my original issue was resolved, I now have a new one: the `transformers-cli` is crashing. I type ```auto transformers-cli --help ``` and the result is ```auto Traceback (most recent call last): File "c:\users\gilad\miniconda3\envs\speechdemoenv_nmt\lib\runpy.py", line 193, in _run_module_as_main " __main__", mod_spec) File "c:\users\gilad\miniconda3\envs\speechdemoenv_nmt\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\Gilad\miniconda3\envs\speechDemoEnv_NMT\Scripts\transformers-cli.exe\ __main__.py", line 4, in File "c:\users\gilad\miniconda3\envs\speechdemoenv_nmt\lib\site-packages\transformers\commands\transformers_cli.py", line 4, in from transformers.commands.add_new_model import AddNewModelCommand File "c:\users\gilad\miniconda3\envs\speechdemoenv_nmt\lib\site-packages\transformers\commands\add_new_model.py", line 8, in from cookiecutter.main import cookiecutter ModuleNotFoundError: No module named 'cookiecutter' ``` Help! ---
**Author:** ![sgugger](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/sgugger/32/2291_2.png) [@sgugger](https://discuss.huggingface.co/u/sgugger)\ **Post date:** [December 6, 2020, 2:14pm UTC](https://discuss.huggingface.co/t/the-question-answering-example-in-the-doc-throws-an-attributeerror-exception-please-help/2611/5 "2020-12-06T14:14:49Z")
You need to use `pip install cookiecutter`. We’ll fix that dependency on Monday! ---
**Author:** ![GPN](https://avatars.discourse-cdn.com/v4/letter/g/a8b319/32.png) [@GPN](https://discuss.huggingface.co/u/GPN)\ **Post date:** [December 6, 2020, 7:37pm UTC](https://discuss.huggingface.co/t/the-question-answering-example-in-the-doc-throws-an-attributeerror-exception-please-help/2611/6 "2020-12-06T19:37:40Z")
Thanks that worked ---
**Author:** ![ruta-8968](https://avatars.discourse-cdn.com/v4/letter/r/b9e5f3/32.png) [@ruta-8968](https://discuss.huggingface.co/u/ruta-8968)\ **Post date:** [April 3, 2024, 3:21pm UTC](https://discuss.huggingface.co/t/the-question-answering-example-in-the-doc-throws-an-attributeerror-exception-please-help/2611/7 "2024-04-03T15:21:01Z")
> > > transformers. **version** > > > ‘4.39.3’ I am still facing this issue when trying to get peft model ```auto AttributeError Traceback (most recent call last) Cell In[14], line 1 ----> 1 model = get_peft_model(model, peft_config) File /opt/conda/lib/python3.11/site-packages/peft/mapping.py:126, in get_peft_model(model, peft_config, adapter_name, mixed) 123 if hasattr(model_config, "to_dict"): 124 model_config = model_config.to_dict() --> 126 peft_config.base_model_name_or_path = model. __dict__.get("name_or_path", None) 128 if mixed: 129 return PeftMixedModel(model, peft_config, adapter_name=adapter_name) AttributeError: 'tuple' object has no attribute ' __dict__' ```